Traditional mobile networks are typically based on a single access technology or single radio link connections, which makes them prone to link failures, congestion, and interference. These limitations result in service interruptions, high latency, and reduced throughput, which can compromise safety and efficiency in mission-critical applications. 
This work involves developing and implementing wireless resource management algorithms by 

• formulating mathematical optimization problems
• solving the problems with heuristics or machine learning-based approaches
• evaluating the algorithms in simulators or hardware testbeds

If you are interested in this work, please send me an email with a short introduction of yourself and your interests along with your CV and grade transcript.

Note: There are multiple thesis/internship positions available within this umbrella topic. The specific topic could be adapted to suit your interests.

Prerequisites

Connected robots need fast and reliable communication, but relying on a single wireless link can lead to failures during critical tasks. This student job focuses on combining technologies such as 6G-cellular, WiFi, and LiFi into a unified 6G network, improving reliability, reducing latency, and increasing data rates for next-generation robotic systems.

The goal of this work is to help implement and maintain a 6G multi-technology testbed and then use the testbed to investigate the performance of multipath networks. In this work, you have the opportunity to work with open source software mobile networks software as well as learn about a new technology – LiFi. This working student position can also be followed up with a research internship or thesis.

If you are interested in this work, please send me an email with a short introduction of yourself along with your CV and grade transcript.

Prerequisites

Robustness of Free-Space Optical Communications (FSOC) channels

Providing reliable voice communication over LDACS using IP-based networking